In this paper we identify biologically relevant families of models whose structural identifiability analysis could not be performed with available techniques directly. The models considered come from both the immunological and epidemiological literature
Modeling of dynamical systems using ordinary differential equations is a popular approach in the fie...
A dynamic model is structurally identifiable (respectively, observable) if it is theoretically possi...
Background: Models of dynamical systems described by ordinary differential equations often contains ...
In this paper methods from differential algebra are used to study the structural identifiability of ...
In this paper methods from differential algebra are used to study the structural identifiability of ...
Under certain controllability and observability restrictions, two different parameterisations for a ...
Structural identifiability analysis of nonlinear dynamic models requires symbolic manipulations, who...
A powerful way of gaining insight into biological systems is by creating a nonlinear differential eq...
Analysing the properties of a biological system through in silico experimentation requires a satisfa...
In this work the problem of identifiability of parameters in models with an a priori known structure...
AbstractAnalysis of the identifiability of a given model system is an essential prerequisite to the ...
Abstract: Dynamic modelling is a powerful tool for studying biological networks. Reachability (contr...
Analysis of the identifiability of a given model system is an essential prerequisite to the determin...
Analysis of the identifiability of a given model system is an essential prerequisite to the determin...
Successful mathematical modeling of biological processes relies on the expertise of the modeler to c...
Modeling of dynamical systems using ordinary differential equations is a popular approach in the fie...
A dynamic model is structurally identifiable (respectively, observable) if it is theoretically possi...
Background: Models of dynamical systems described by ordinary differential equations often contains ...
In this paper methods from differential algebra are used to study the structural identifiability of ...
In this paper methods from differential algebra are used to study the structural identifiability of ...
Under certain controllability and observability restrictions, two different parameterisations for a ...
Structural identifiability analysis of nonlinear dynamic models requires symbolic manipulations, who...
A powerful way of gaining insight into biological systems is by creating a nonlinear differential eq...
Analysing the properties of a biological system through in silico experimentation requires a satisfa...
In this work the problem of identifiability of parameters in models with an a priori known structure...
AbstractAnalysis of the identifiability of a given model system is an essential prerequisite to the ...
Abstract: Dynamic modelling is a powerful tool for studying biological networks. Reachability (contr...
Analysis of the identifiability of a given model system is an essential prerequisite to the determin...
Analysis of the identifiability of a given model system is an essential prerequisite to the determin...
Successful mathematical modeling of biological processes relies on the expertise of the modeler to c...
Modeling of dynamical systems using ordinary differential equations is a popular approach in the fie...
A dynamic model is structurally identifiable (respectively, observable) if it is theoretically possi...
Background: Models of dynamical systems described by ordinary differential equations often contains ...